Fatemeh Afghah
Cognitive Neuroscience · with Acharya · 2019
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 8 citations into it; #7,820 of 10,852 by trust here, #9,744 by citations
- Cardiology and Cardiovascular Medicine — 5 citations into it; #513 of 906 by trust here, #798 by citations
Whom Fatemeh Afghah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Fatemeh Afghah overall
Papers from Fatemeh Afghah's perspective
Ordered by how strongly the researchers Fatemeh Afghah trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Bidirectional recurrent neural networks
- Analyzing Neural Time Series Data: Theory and Practice
- Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the EEG (IEEE Transactions on Biomedical Engineering)
- Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders (Annals of Biomedical Engineering)
- Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
- Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier (Comput. Methods Programs Biomed.)
- Training deep neural networks on imbalanced data sets (IEEE International Joint Conference on Neural Network)
- Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals (Comput. Biol. Medicine)
- Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning (arXiv.org)
Their papers
- SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach (2019) — 477 citations